Results 61 to 70 of about 828 (181)

A Kreybig talajszelvény adatbázis térbeli kiterjesztése indikátor krigeléssel [PDF]

, 2013
A Digitális Kreybig Talajinformációs Rendszer (DKTIR) a térbeli felbontásában legrészletesebb hazai talajtani adatállomány, amely egyben teljes országos fedettséget is biztosít. Térinformatikailag két jól elkülöníthető részből tevődik össze. 1.
Bakacsi, Zsófia, Laborczi, Annamária, Pásztor, László, Szabó, József   +3 more
core  

Agriculture 4.0 as a way forward to sustainable agriculture in Australia

JSFA reports, Volume 5, Issue 8, Page 337-358, August 2025.
Abstract Background Agriculture in Australia faces significant challenges driven by climate change, including extreme weather events, prolonged droughts, biodiversity loss and declining productivity. These pressures demand innovative solutions to ensure the sustainability and resilience of agricultural systems.
Fahad Khan
wiley   +1 more source

A Framework Based on Isoparameters for Clustering and Mapping Geophysical Data in Pedogeomorphological Studies

Soil Systems
Understanding soil variability supports improved land use and soil security. This study aimed to generate uniform geophysical classes by integrating data from three proximal geophysical sensors with synthetic soil and satellite images using machine ...
Gustavo Vieira Veloso, Danilo César de Mello, Heitor Paiva Palma, Murilo Ferre Mello, Lucas Vieira Silva, Elpídio Inácio Fernandes-Filho, Márcio Rocha Francelino, Tiago Osório Ferreira, José Cola Zanuncio, Davi Feital Gjorup, Roney Berti de Oliveira, Marcos Rafael Nanni, Renan Falcioni, José A. M. Demattê   +13 more
doaj   +1 more source

Global mapping of volumetric water retention at 100, 330 and 15 000 cm suction using the WoSIS database

International Soil and Water Conservation Research, 2023
Present global maps of soil water retention (SWR) are mostly derived from pedotransfer functions (PTFs) applied to maps of other basic soil properties.
Maria Eliza Turek, Laura Poggio, Niels H. Batjes, Robson André Armindo, Quirijn de Jong van Lier, Luis de Sousa, Gerard B.M. Heuvelink   +6 more
doaj   +1 more source

Landmark Papers no. 8: Burgess, T.M. & Webster, R. 1980. Optimal interpolation and isarithmic mapping of soil properties. I. The semi-variogram and punctual kriging. Journal of Soil Science, 31, 315-331: Commentary on the impact of Burgess & Webster (1980a) [PDF]

, 2019
This landmark paper by Burgess & Webster (1980a) signalled a new era in the spatial mapping of the soil. The emergence of pedometrics as a distinct subdiscipline of soil science was a gradual process, and had its roots in earlier studies than this one ...
Beckett, Bierkens, Bourennane, Burgess, Burgess, Burgess, Goovaerts, Journel, Kempen, Lagacherie, Lark, Lark, Laslett, Leenhardt, Marchant, McBratney, McBratney, Meerschman, Orton, Papritz, Rawlins, Stein, Van Meirvenne, Webster, Webster, Webster, Webster, Webster, Youden   +28 more
core   +2 more sources

A Note on Spurious Correlations and Explainable Machine Learning in Digital Soil Mapping

European Journal of Soil Science, Volume 76, Issue 4, July–August 2025.
ABSTRACT The use of machine learning as a method for knowledge discovery is often critically discussed in soil science and related environmental disciplines. Reviews of the use of machine learning in digital soil mapping identified few studies that incorporated existing soil knowledge of transformation and translocation processes in soils and ...
Tobias Rentschler, Thomas Scholten
wiley   +1 more source

Artificial intelligence in soil science

European Journal of Soil Science, Volume 76, Issue 2, March–April 2025.
ABSTRACT Few would disagree that artificial intelligence (AI) holds potential for advancing knowledge and innovation. Over the past decades, substantial research has been devoted to the development and application of AI in soil science. While most of today's AI applications in soil science are related to machine learning (ML), AI also encompasses other
Alexandre M. J.‐C. Wadoux
wiley   +1 more source

Soil classification from visible/near-infrared diffuse reflectance spectra at multiple depths. [PDF]

, 2012
: Visible/near-infrared diffuse reflectance spectroscopy (VNIRS) offers an alternative to conventional analytical methods to estimate various soil attributes.
DEMATTE, J. A. M., LOPEZ, L. R., TERRA, F. da S., VASQUES, G. de M.   +3 more
core  

Modelagem uni e bivariada da variabilidade espacial de rendimento de Pinus taeda L. [PDF]

, 2019
O objetivo deste estudo foi avaliar a variabilidade espacial de rendimento de Pinus taeda L. em função de teores de argila do solo obtidos de um mapeamento detalhado de solos, na escala 1:10.000, em uma área localizada no município de Rio Negrinho ...
BOGNOLA, I. A., HIGA, A. R., LINGNAU, C., RIBEIRO JÚNIOR, P. J., SILVA, E. A. A. da   +4 more
core   +1 more source

Development of soil spectroscopy models for the Western Highveld region, South Africa: Why do we need local data?

European Journal of Soil Science, Volume 75, Issue 6, November-December 2024.
Abstract The increasing global demand for sustainable agriculture requires accurate and efficient soil analysis methods. Conventional laboratory techniques are often time‐consuming, costly and environmentally damaging. To address this challenge, we developed and validated locally calibrated mid‐infrared (MIR) spectroscopy models for predicting key soil
Anru‐Louis Kock, Prudence Dimakatso Ramphisa‐Nghondzweni, George Van Zijl   +2 more
wiley   +1 more source